There are thousands of agent skills. Almost none of them are tested. They get vibe-checked with two manual runs, maybe a thumbs-up from a colleague, then shipped. You wouldn't merge code without tests — so why are we shipping skills without evals? This talk covers the full lifecycle of building reliable agent skills: what a skill actually is (and isn't), how to write one that triggers correctly, and how to build a lightweight eval harness that catches failures before your users do.
### Philipp Schmid
Staff Engineer · Google DeepMind
[X/Twitter](https://x.com/_philschmid) · [LinkedIn](https://www.linkedin.com/in/philipp-schmid-a6a2bb196/) · [Website](https://www.philschmid.de/) · [Blog](https://www.philschmid.de)
Philipp Schmid is a Staff Engineer at Google DeepMind working on Gemini and Gemma. His work focuses on helping developers build and benefit from AI responsibly.
## About This Session
— [View on the schedule](https://www.ai.engineer/worldsfair/schedule?session=asn_slot_2026_07_01_breakout_track_05_1545_2026_06_26t08_57_00_975z)
